mixle.stats.compute.capabilities module¶
Distribution capability metadata for engine and planner decisions.
The registry records which distribution families can execute on each compute engine, which kernels are generic or specialized, and why some families remain intentionally NumPy-only.
- delegated_engine_ready(child_engine_ready)[source]
Engines a delegating wrapper (Weighted/Ignored/Transform) may report: the child’s engines capped to the composition-safe set. A no-op for numpy/torch children; it only drops leaf-only engines the wrapper kernel has not been verified to support.
- class DistributionCapabilities(engine_ready=('numpy',), kernel_status='generic', numpy_only_reason=None)[source]
Bases:
objectRuntime capability metadata for a distribution family.
- supports_engine(engine)[source]
Return whether this metadata allows execution on
engine.
- property is_permanently_numpy_only: bool
Return true for families intentionally excluded from tensor engines.
- register_capabilities(dist_type, capabilities)[source]
Register capability metadata for a distribution class.
- registered_capability_types()[source]
Return distribution classes with explicitly registered capabilities.
- numpy_only_distribution_types()[source]
Return families intentionally kept on the NumPy execution path.
This excludes transitional
legacy_numpyfamilies: those may gain backend declarations later. The returned families have permanent distribution-owned reasons explaining why generic tensor engines are not a good fit.
- capabilities_for(x)[source]
Return registered capabilities for a distribution instance or class.
- Parameters:
x (Any)
- Return type:
DistributionCapabilities
- intersect_engine_ready(children, preferred_order=COMPOSITION_ENGINES)[source]
Return the engine names supported by every child distribution.